c3d-highcpu-16 as a GKE node
16 vCPU32 GiBx86_64Google Cloud us-central1C3D High CPU 16
Where the c3d-highcpu-16 goes
Default GKE setup: GKE ≤ 1.36.
CPU15.69 of 16 vCPU left for your pods
Memory28.05 GiB of 32 GiB left for your pods
your podsDaemonSets (200m, 300 MiB assumed)kubelet reservedeviction
110max pods per node
$437.78on demand / month · $0.5997/h
$111.54spot / month (varies)
c3d-highcpu-16 GKE max pods and allocatable memory — quick answers
- How many pods can a c3d-highcpu-16 run as a node with GKE ≤ 1.36? Up to 110; kubelet keeps 3745 MiB of memory and 110m CPU, leaving 28.34 GiB and 15.89 vCPU for pods.
- How many pods can a c3d-highcpu-16 run as a node with GKE 1.37+ (Container-Optimized OS)? Up to 110; kubelet keeps 2250 MiB of memory and 110m CPU, leaving 29.80 GiB and 15.89 vCPU for pods.
- How many 500m / 1 GiB pods fit? 28 per node after DaemonSets; 1 nodes for 10 replicas, about $437.78/month on demand.
What kubelet reserves on c3d-highcpu-16
| Setup | Max pods | kube-reserved CPU | Memory reserved + eviction | Allocatable CPU | Allocatable memory | Memory usable |
|---|---|---|---|---|---|---|
| GKE ≤ 1.36 tiered memory reservation | 110 | 110m | 3645 Mi + 100 Mi | 15.89 | 28.34 GiB | 88.6% |
| GKE 1.37+ (Container-Optimized OS) 15 MiB × max pods + 500 MiB, CPU capped at 1 vCPU | 110 | 110m | 2150 Mi + 100 Mi | 15.89 | 29.80 GiB | 93.1% |
How these numbers are computed: reservation formulas. Check a live node with kubectl describe node → Allocatable.
How many pods fit on one c3d-highcpu-16
Assumes DaemonSets (CNI, kube-proxy, log and metrics agents) request 200m CPU, 300 Mi and 3 pods per node. Try your own numbers in the node calculator.
| Pod requests (CPU / memory) | GKE ≤ 1.36 | GKE 1.37+ (Container-Optimized OS) | $ per pod / month |
|---|---|---|---|
| 100m / 128 Mi | 107 | 107 | $4.09 |
| 250m / 256 Mi | 62 | 62 | $7.06 |
| 250m / 512 Mi | 56 | 59 | $7.82 |
| 500m / 512 Mi | 31 | 31 | $14.12 |
| 500m / 1024 Mi | 28 | 29 | $15.63 |
| 1000m / 1024 Mi | 15 | 15 | $29.19 |
| 1000m / 2048 Mi | 14 | 14 | $31.27 |
| 2000m / 4096 Mi | 7 | 7 | $62.54 |
| 4000m / 8192 Mi | 3 | 3 | $145.93 |
Similar GKE node types
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| n4a-highcpu-16 | 16 | 32 | 15.89 | 28.34 GiB | 110 | $379.37 | $13.39 |
| n4d-highcpu-16 | 16 | 32 | 15.89 | 28.34 GiB | 110 | $417.33 | $14.72 |
| c2d-highcpu-16 | 16 | 32 | 15.89 | 28.34 GiB | 110 | $437.78 | $15.45 |
| c4a-highcpu-16 | 16 | 32 | 15.89 | 28.34 GiB | 110 | $442.44 | $15.61 |
| n4-highcpu-16 | 16 | 32 | 15.89 | 28.34 GiB | 110 | $446.99 | $15.77 |
| c4-highcpu-16 | 16 | 32 | 15.89 | 28.34 GiB | 110 | $496.70 | $17.53 |
| c4n-highcpu-16 | 16 | 32 | 15.89 | 28.34 GiB | 110 | $794.73 | $28.04 |
| c4d-highcpu-16 | 16 | 30 | 15.89 | 26.46 GiB | 110 | $464.18 | $17.54 |
Closest match on other clouds
| Type | vCPU | GiB | Alloc CPU | Alloc memory | Max pods | $/month | $ per alloc GiB |
|---|---|---|---|---|---|---|---|
| d16plsv6 | 16 | 32 | 15.74 | 26.97 GiB | 250 | $362.08 | $13.42 |
| c6g.4xlarge | 16 | 32 | 15.89 | 29.14 GiB | 234 | $397.12 | $13.63 |
| d16plsv5 | 16 | 32 | 15.74 | 26.97 GiB | 250 | $397.12 | $14.72 |
| c7g.4xlarge | 16 | 32 | 15.89 | 29.14 GiB | 234 | $423.40 | $14.53 |
| c6a.4xlarge | 16 | 32 | 15.89 | 29.14 GiB | 234 | $446.76 | $15.33 |
| d16pldsv5 | 16 | 32 | 15.74 | 26.97 GiB | 250 | $448.22 | $16.62 |